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Companies’ Expanded Alliance Will Help Enterprises Worldwide Easily Build and Operate State-of-the-Art AI and Metaverse Services, Including IoT Edge AI, Speech AI, Recommenders, Customer Service Chatbots, Cybersecurity, Digital Twins and More

SANTA CLARA, Calif., Sept. 20, 2022 (GLOBE NEWSWIRE) — GTC—NVIDIA and Deloitte today announced an expansion of their alliance to help enable enterprises around the world to develop, implement and deploy hybrid-cloud solutions using the NVIDIA AI and NVIDIA Omniverse™ Enterprise platforms.

Through the expanded alliance, Deloitte’s professionals will gain access to both NVIDIA platforms to help clients build and deploy a wide range of AI applications, including edge AI, speech AI, recommender systems, chatbots, cybersecurity, digital twins and more.

The relationship will extend Deloitte’s ability to develop innovative solutions for its clients, including multinational enterprises. NVIDIA’s AI products and technologies combined with Deloitte’s deep AI experience will help clients tackle key business challenges — such as gaining competitive advantage, enhancing customer experiences, optimizing operations and launching innovative businesses in new markets.

“Building on our relationship with NVIDIA, we are bringing together our top talent pool and deep AI experience with the power of NVIDIA AI and Omniverse platforms to help clients accelerate the development of AI-fueled solutions,” said Joe Ucuzoglu, CEO of Deloitte US. “By expanding our collaboration with NVIDIA, we can help enable clients to quickly deliver on the full capabilities of AI to transform their businesses.”

“AI and metaverse technologies are reshaping the foundations of our economy,” said Jensen Huang, founder and CEO of NVIDIA. “Together, NVIDIA and Deloitte can help enterprises apply AI to create new products and services that reinvent their industries.”

The new hybrid-cloud solutions built on NVIDIA technologies supplement the companies’ strong collaboration. NVIDIA AI hardware and software, including NVIDIA DGX™ systems, are at the heart of the Deloitte Center for AI Computing, a first-of-its-kind center designed to accelerate the development of innovative AI solutions for Deloitte clients.

Additionally, Deloitte’s Unlimited Reality services leverage the Center for AI Computing and NVIDIA Omniverse Enterprise platform for 3D design collaboration and virtual world simulation. Deloitte and NVIDIA are also collaborating to create immersive or hybrid replicas of real-world environments and processes to help enterprises optimize operations and intelligent decision making.

New Hybrid-Cloud NVIDIA Applications Serve Broad Industry Use Cases

Since establishing their partnership two years ago, Deloitte and NVIDIA have helped to enable leading enterprises to deploy transformative new applications. These include pioneering work with the U.S. Postal Service to use vision AI to improve delivery efficiency, and modernizing the customer experience for a global food service leader.

The new services will be powered by several NVIDIA products and technologies, including:

• 
  NVIDIA Omniverse Enterprise
  platform for building custom 3D pipelines and simulating virtual worlds.
• 
  NVIDIA Omniverse Avatar Cloud Engine
  AI microservices along with the NVIDIA Project Tokkio application framework to build, customize and deploy interactive service avatars at scale.
• 
  NVIDIA AI Enterprise
  cloud-native suite of AI and data analytics software optimized for the development and deployment of AI. It is essential for building production-ready applications on the NVIDIA AI platform and includes global enterprise support to keep AI projects on track.
• 
  NVIDIA Riva
  GPU-accelerated SDK for building speech AI applications that are customizable for each use case and deliver real-time performance.
• 
  NVIDIA Merlin
  ™ open-source framework for building high-performing recommender systems at scale.
• 
  NVIDIA Metropolis
  application framework, set of developer tools and partner ecosystem that bring visual data and AI together to improve operational efficiency and safety across a broad range of industries, including IoT AI devices.

The expanded portfolio of NVIDIA AI and Omniverse services will run in the cloud to provide easy accessibility and scale.

Availability
For more information on the Deloitte and NVIDIA alliance, visit the website or watch the GTC keynote.

About Deloitte

Deloitte provides industry-leading audit, consulting, tax and advisory services to many of the world’s most admired brands, including nearly 90% of the Fortune 500® and more than 7,000 private companies. Our people come together for the greater good and work across the industry sectors that drive and shape today’s marketplace — delivering measurable and lasting results that help reinforce public trust in our capital markets, inspire clients to see challenges as opportunities to transform and thrive, and help lead the way toward a stronger economy and a healthier society. Deloitte is proud to be part of the largest global professional services network serving our clients in the markets that are most important to them. Now celebrating 175 years of service, our network of member firms spans more than 150 countries and territories. Learn how Deloitte’s approximately 415,000 people worldwide connect for impact at www.deloitte.com.

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics and ignited the era of modern AI. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.

Certain statements in this press release including, but not limited to, statements as to: the benefits and impact of Deloitte and NVIDIA’s expanded alliance, the NVIDIA AI and NVIDIA Omniverse Enterprise platforms, NVIDIA Omniverse Avatar Cloud Engine, NVIDIA Project Tokkio, NVIDIA Riva, NVIDIA Merlin and NVIDIA Metropolis; AI and metaverse technologies reaching convergence, and its impact; NVIDIA AI and Omniverse services running in the cloud; and the availability of the services provided by the Deloitte and NVIDIA alliance are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2022 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA DGX, NVIDIA Merlin and NVIDIA Omniverse are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/dab79eb5-d7a1-4723-9937-607f6482ca8b

SANTA CLARA, Calif., Sept. 20, 2022 (GLOBE NEWSWIRE) — NVIDIA today announced the second generation of NVIDIA OVX™, powered by the NVIDIA Ada Lovelace GPU architecture and enhanced networking technology, to deliver groundbreaking real-time graphics, AI and digital twin simulation capabilities.

The new NVIDIA OVX systems are designed to build 3D virtual worlds using leading 3D software applications and to operate immersive digital twin simulations in NVIDIA Omniverse™ Enterprise — a scalable, end-to-end platform enabling enterprises to build and operate metaverse applications.

Launched in March
, NVIDIA OVX — a computing system designed to power large-scale Omniverse digital twins — will be delivered to some of the world’s most sophisticated design and engineering teams at companies like BMW Group and Jaguar Land Rover.

“Large-scale digital twins are redefining how nearly every industry plans, designs and builds in the physical world,” said Bob Pette, vice president of professional visualization at NVIDIA. “NVIDIA OVX will provide the next generation of compute power required for the most complex digital twins of factories, buildings and entire cities.”

Powering the new OVX systems is the NVIDIA® L40 GPU, also based on the NVIDIA Ada Lovelace GPU architecture, which brings the highest levels of power and performance for building complex industrial digital twins.

The L40 GPU’s third-generation RT Cores and fourth-generation Tensor Cores will deliver powerful capabilities to Omniverse workloads running on OVX, including accelerated ray-traced and path-traced rendering of materials, physically accurate simulations and photorealistic 3D synthetic data generation. The L40 will also be available in NVIDIA-Certified Systems™ servers from major OEM vendors to power RTX workloads from the data center.

In addition to the L40 GPU, the new NVIDIA OVX includes the NVIDIA ConnectX®-7 SmartNIC, providing enhanced network and storage performance and the precision timing synchronization required for true-to-life digital twins. ConnectX-7 includes support for 200G networking on each port and fast in-line data encryption to speed up data movement and increase security for digital twins.

Worldwide Adopters Accelerate Performance

BMW Group and Jaguar Land Rover will be among the first equipped with the power of the new systems.

“Planning our factories of the future starts with building state-of-the-art digital twins using NVIDIA Omniverse,” said Jürgen Wittmann, head of innovation and virtual production at BMW Group. “Using NVIDIA OVX systems to run our digital twin workloads will provide the performance and scale needed to develop large-scale photorealistic models of our factories and conduct true-to-reality simulations that will transform our manufacturing, design and production processes.”

“NVIDIA OVX and DRIVE Sim deliver a powerful platform that enables us to simulate a wide range of real-world driving scenarios to safely and efficiently test our next generation of connected and autonomous vehicles as well as to recreate the customer journey to demonstrate vehicle features and functions,” said Alex Heslop, director of electrical, electronic and software engineering at Jaguar Land Rover. “Using this technology to generate large volumes of high-fidelity, physically accurate scenarios in a scalable, cost-efficient manner will accelerate our progress towards our goal of a future with zero accidents and less congestion.”

Computing System Specifications

Each OVX server node combines eight NVIDIA L40 GPUs with three NVIDIA ConnectX-7 network adapters, bringing the power of 100/200/400G networking. For Omniverse workloads that require a higher level of performance and scale, the servers can be deployed in NVIDIA OVX POD and SuperPOD configurations with the NVIDIA Spectrum™-3 Ethernet platform.

Availability

Second-generation NVIDIA OVX systems will be available from Inspur, Lenovo and Supermicro by early 2023, with GIGABYTE, H3C and QCT offering them in the future.

To learn more about NVIDIA OVX, watch NVIDIA founder and CEO Jensen Huang’s GTC 2022 keynote. Register for GTC for free to attend sessions with NVIDIA and industry leaders.

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics and ignited the era of modern AI. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.

For further information, contact:

Kasia Johnston
Senior PR Manager
NVIDIA Corporation
+1-415-813-8859
[email protected]

Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, performance, and features of NVIDIA OVX, NVIDIA Omniverse Enterprise, the NVIDIA L40 GPU and the NVIDIA ConnectX-7 SmartNIC; NVIDIA OVX being delivered to BMW Group, Jaguar Land Rover and other design and engineering teams; large-scale digital twins redefining how nearly every industry plans, designs and builds in the physical world; and the availability of the L40 and OVX systems are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2022 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, ConnectX, NVIDIA-Certified Systems, NVIDIA Omniverse, NVIDIA OVX and NVIDIA Spectrum are trademarks and/or registered trademarks of NVIDIA Corporation and/or Mellanox Technologies in the U.S. and other countries. All other trademarks and copyrights are the property of their respective owners. Features, pricing, availability, and specifications are subject to change without notice.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/7597c382-3642-4c11-97b7-db751cb3ff23

Companies to Provide Services and NVIDIA AI-Accelerated Cybersecurity Platform to Analyze Massive Amounts of Data, Pinpoint Threats Faster

SANTA CLARA, Calif., Sept. 20, 2022 (GLOBE NEWSWIRE) — GTC—NVIDIA and Booz Allen Hamilton (NYSE: BAH) today announced an expanded collaboration to bring an AI-enabled, GPU-accelerated cybersecurity platform to customers in the public and private sectors.

The platform enables next-generation incident response systems that help customers pinpoint cybersecurity threats. It is powered by NVIDIA GPUs and NVIDIA Morpheus, the only open-source, giant-scale, GPU-accelerated AI cybersecurity processing framework.

To help customers respond to threats rapidly, Booz Allen has developed the Cyber Precog, built upon the Morpheus platform. Cyber Precog is a GPU-accelerated software platform that provides operationally honed, mission-relevant AI models and modular pipelines for rapid deployment at the edge. Cyber Precog provides the software paradigm necessary to power the Cyber Precog Flyaway Kit, a GPU-powered edge server custom designed to support cyber operations in degraded and disconnected environments.

Cyber Precog enables NVIDIA GPU acceleration of the kit’s data ingestion at 300x the rate of CPUs, while boosting AI training by 32x and AI inference by 24x. This allows Booz Allen customers to achieve performance from a single NVIDIA GPU node that is equivalent to 135 CPU-only server nodes.

Booz Allen and NVIDIA are also collaborating on next-generation solutions powered by the cybersecurity platform.

“Traffic moving through the modern data center continues to expand, propelled by innovations such as AI and connected devices, and it’s increasingly susceptible to potential breaches and attacks,” said Justin Boitano, vice president of enterprise platforms at NVIDIA. “NVIDIA Morpheus enables innovators to create zero-trust technologies that detect and eliminate threats as they arise.”

“Our customers operate in many resource-constrained environments,” said Matt Tarascio, senior vice president at Booz Allen. “NVIDIA GPUs, along with NVIDIA’s Morpheus framework, allow us to bring enterprise capability to the edge, so that the best analytic, data processing and AI capability can be delivered to the mission. Developing Cyber Precog is one example of the many ways in which we are working rapidly to unlock advanced tradecraft, develop unique capabilities and deploy scalable solutions — all of which integrate seamlessly into our customers’ missions to help them achieve cyber advantage.”

Morpheus is a GPU-accelerated software framework offering cybersecurity developers, for the first time, the ability to inspect all network traffic in real time, flag anomalies and provide insights to help address threats quickly. The latest release of Morpheus includes updates to pre-built workflows, including new visualization capabilities for digital fingerprinting and sensitive information detection. New visualizations enable faster threat identification and remediation by security analysts.

Availability

The NVIDIA Morpheus cybersecurity processing framework can be deployed in public clouds, hybrid clouds or hosted on premises and is available for download on NVIDIA NGC™ and GitHub.

Tune in to watch NVIDIA founder and CEO Jensen Huang’s GTC keynote address.

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics and ignited the era of modern AI. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.

For further information, contact:

Alex Shapiro
Senior PR Manager
NVIDIA Corporation
+1-415-608-5044
[email protected]

Certain statements in this press release including, but not limited to, statements as to: the benefits, performance, impact, and availability of our products and technologies, including NVIDIA Morpheus and NVIDIA GPUs; the benefits, performance, impact and availability of our collaborators’ products and technologies, including Cyber Precog and Cyber Precog Flyaway Kit; the benefits, performance and impact of our collaborations including with Booz Allen Hamilton; the expansion of traffic moving through the modern data center and its susceptibility to potential breaches and attacks; and unlocking advanced tradecraft, developing unique capabilities and deploying scalable solutions to achieve cyber advantage are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2022 NVIDIA Corporation. All rights reserved. NVIDIA and the NVIDIA logo are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/cf14f1ce-cc5f-49e2-8d3d-cd5516f3fe92

World’s Leading Computer
Makers Dell Technologies, HPE, Lenovo, Supermicro, Plus Cloud Service Providers AWS, Google Cloud, Microsoft Azure, Oracle Cloud Infrastructure Building H100-Based Offerings; Availability Begins Next Month

SANTA CLARA, Calif., Sept. 20, 2022 (GLOBE NEWSWIRE) — GTC—NVIDIA today announced that the NVIDIA H100 Tensor Core GPU is in full production, with global tech partners planning in October to roll out the first wave of products and services based on the groundbreaking NVIDIA Hopper™ architecture.

Unveiled in April, H100 is built with 80 billion transistors and benefits from a range of technology breakthroughs. Among them are the powerful new Transformer Engine and an NVIDIA NVLink® interconnect to accelerate the largest AI models, like advanced recommender systems and large language models, and to drive innovations in such fields as conversational AI and drug discovery.

“Hopper is the new engine of AI factories, processing and refining mountains of data to train models with trillions of parameters that are used to drive advances in language-based AI, robotics, healthcare and life sciences,” said Jensen Huang, founder and CEO of NVIDIA. “Hopper’s Transformer Engine boosts performance up to an order of magnitude, putting large-scale AI and HPC within reach of companies and researchers.”

In addition to Hopper’s architecture and Transformer Engine, several other key innovations power the H100 GPU to deliver the next massive leap in NVIDIA’s accelerated compute data center platform, including second-generation Multi-Instance GPU, confidential computing, fourth-generation NVIDIA NVLink and DPX Instructions.

A five-year license for the NVIDIA AI Enterprise software suite is now included with H100 for mainstream servers. This optimizes the development and deployment of AI workflows and ensures organizations have access to the AI frameworks and tools needed to build AI chatbots, recommendation engines, vision AI and more.

Global Rollout of Hopper

H100 enables companies to slash costs for deploying AI, delivering the same AI performance with 3.5x more energy efficiency and 3x lower total cost of ownership, while using 5x fewer server nodes over the previous generation.

For customers who want to immediately try the new technology, NVIDIA announced that H100 on Dell PowerEdge servers is now available on NVIDIA LaunchPad, which provides free hands-on labs, giving companies access to the latest hardware and NVIDIA AI software.

Customers can also begin ordering NVIDIA DGX™ H100 systems, which include eight H100 GPUs and deliver 32 petaflops of performance at FP8 precision. NVIDIA Base Command™ and NVIDIA AI Enterprise software power every DGX system, enabling deployments from a single node to an NVIDIA DGX SuperPOD™ supporting advanced AI development of large language models and other massive workloads.

H100-powered systems from the world’s leading computer makers are expected to ship in the coming weeks, with over 50 server models in the market by the end of the year and dozens more in the first half of 2023. Partners building systems include Atos, Cisco, Dell Technologies, Fujitsu, GIGABYTE, Hewlett Packard Enterprise, Lenovo and Supermicro.

Additionally, some of the world’s leading higher education and research institutions will be using H100 to power their next-generation supercomputers. Among them are the Barcelona Supercomputing Center, Los Alamos National Lab, Swiss National Supercomputing Centre (CSCS), Texas Advanced Computing Center and the University of Tsukuba.

H100 Coming to the Cloud

Amazon Web Services, Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure will be among the first to deploy H100-based instances in the cloud starting next year.

“We look forward to enabling the next generation of AI models on the latest H100 GPUs in Microsoft Azure,” said Nidhi Chappell, general manager of Azure AI Infrastructure. “With the advancements in Hopper architecture coupled with our investments in Azure AI supercomputing, we’ll be able to help accelerate the development of AI worldwide”

“By offering our customers the latest H100 GPUs from NVIDIA, we’re helping them accelerate their most complex machine learning and HPC workloads,” said Karan Batta, vice president of product management at Oracle Cloud Infrastructure. “Additionally, using NVIDIA’s next generation of H100 GPUs allows us to support our demanding internal workloads and helps our mutual customers with breakthroughs across healthcare, autonomous vehicles, robotics and IoT.”

NVIDIA Software Support

The advanced Transformer Engine technology of H100 enables enterprises to quickly develop large language models with a higher level of accuracy. As these models continue to grow in scale, so does the complexity, sometimes requiring months to train.

To tackle this, some of the world’s leading large language model and deep learning frameworks are being optimized on H100, including NVIDIA NeMo Megatron, Microsoft DeepSpeed, Google JAX, PyTorch, TensorFlow and XLA. These frameworks combined with Hopper architecture will significantly speed up AI performance to help train large language models within days or hours.

To learn more about NVIDIA Hopper and H100, watch Huang’s GTC keynote. Register for GTC for free to attend sessions with NVIDIA and industry leaders.

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics and ignited the era of modern AI. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.

For further information, contact:

Kristin Uchiyama
Senior PR Manager
NVIDIA Corporation
+1-408-313-0448
[email protected]

Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, specifications, performance, features and availability of our products and technologies, including NVIDIA H100 Tensor Core GPUs, NVIDIA Hopper architecture, NVIDIA AI Enterprise software suite, NVIDIA LaunchPad, NVIDIA DGX H100 systems, NVIDIA Base Command, NVIDIA DGX SuperPOD and NVIDIA-Certified Systems; a range of the world’s leading computer makers, cloud service providers, higher education and research institutions and large language model and deep learning frameworks adopting the H100 GPUs; the software support for NVIDIA H100; large language models continuing to grow in scale; and the performance of large language model and deep learning frameworks combined with NVIDIA Hopper architecture are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2022 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DGX, NVIDIA Base Command, NVIDIA-Certified Systems, NVIDIA DGX SuperPOD, NVIDIA Hopper and NVLink are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/77db7ffe-3351-420c-938e-37c21256f801

Partnership Accelerates Genome Analysis Workflows; Teams to Co-Develop Large Language Models for Discovery and Development of Targeted Therapies

SANTA CLARA, Calif., Sept. 20, 2022 (GLOBE NEWSWIRE) — GTC—NVIDIA today announced a partnership with the Broad Institute of MIT and Harvard to provide the Terra cloud platform and its over 25,000 users — from biomedical researchers in academia, startups and large pharma companies — with the AI and acceleration tools needed to quickly analyze massive amounts of healthcare data.

The collaboration is designed to connect NVIDIA’s AI expertise and healthcare computing platforms with the Broad Institute’s world-renowned researchers, scientists and open platforms with a focus on three key areas:

• Making
  
  
  NVIDIA Clara™ Parabricks®
  
  
  available in the Terra platform: Parabricks, a GPU-accelerated software suite for secondary analysis of sequencing data, is now available in six new Terra workflows. Users can now analyze a whole genome in just over one hour with Clara Parabricks compared to 24 hours in a CPU-based environment and can reduce the compute cost by more than half.
• Building large language models (LLMs): Researchers will develop foundational models for DNA and RNA, the building blocks of life, to better understand human biology using NVIDIA BioNeMo, an AI application framework announced today for LLMs in biology.
• Bringing improved deep learning to Genome Analysis Toolkit (GATK): NVIDIA is contributing a new deep learning model directly to the Broad Institute’s GATK toolkit, the industry standard used by more than 100,000 researchers, which helps identify genetic variants that are associated with diseases. This will help drug discovery researchers develop new therapies.

“There’s a need across the healthcare ecosystem for better computational tools to enable breakthroughs in the way we understand disease, develop diagnostics and deliver treatments,” said Kimberly Powell, vice president of healthcare at NVIDIA. “By expanding our collaboration with the Broad Institute, we can bring the power of large language models to ultimately deliver joint solutions and narrow the divide between insights from researchers and real benefits for patients.”

The Broad Institute aims to enable the next generation of collaborative biomedical research by providing an open cloud platform that connects researchers both to each other and to the datasets and tools they need to achieve scientific breakthroughs.

“Life sciences are in the midst of a data revolution, and researchers are in critical need of a new approach to bring machine learning into biomedicine,” said Anthony Philippakis, chief data officer of the Broad Institute. “In this collaboration, we aim to expand our mission of data sharing and collaborative processes to scale genomics research.”

Large Language Models to Study Disease


NVIDIA’s BioNeMo framework
includes pretrained LLMs for proteins and chemistry that simplify training, inference and scaling. BioNeMo is an extension of the NVIDIA NeMo Megatron framework and is domain-specific for chemistry, proteins and DNA/RNA sequences.

BioNeMo allows developers to effectively train and deploy biology LLMs with billions of parameters. Together, teams from both organizations will build on this work, creating new models to add to the BioNeMo collection and make available in the Terra platform.

NVIDIA Software for Domain-Specific AI

NVIDIA Parabricks GPU-accelerated workflows provide researchers with faster turnaround times and lower costs for a wide range of genomic data analyses. For Broad’s GATK best practices germline workflow, doing the analysis with Parabricks on GPUs can be as much as 24x faster and less than half the cost.

Broad Institute researchers will also gain access to MONAI, an open-source deep learning framework for medical imaging AI, as well as NVIDIA RAPIDS™, a GPU-accelerated data science toolkit for faster data preparation, which can be used for genomic single-cell analysis.

Learn more about Clara Parabricks and Terra integration and sign up for early access to the NVIDIA BioNeMo LLM service.

Tune in to NVIDIA CEO Jensen Huang’s GTC keynote to learn more about the collaboration with the Broad Institute.

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics and ignited the era of modern AI. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.

For further information, contact:

Janette Ciborowski
NVIDIA Corporation
+1-734-330-8817
[email protected]

Certain statements in this press release including, but not limited to, statements as to: the benefits and impact of our partnerships including with the Broad Institute and the integration of Clara Parabricks with Terra; the benefits, performance, impact and availability of our products and technologies, including NVIDIA Clara Parabricks, NVIDIA BioNeMo, NVIDIA NeMo Megatron and NVIDIA RAPIDS; a data revolution in the life sciences; and the need for better computational tools across the healthcare ecosystem are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2022 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA Clara, NVIDIA RAPIDS and Parabricks are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/8e4398fd-e335-4c7e-9f73-221dc9b9c823

NVIDIA NeMo LLM Service Helps Developers Customize Massive Language Models; NVIDIA BioNeMo Service Helps Researchers Generate and Predict Molecules, Proteins, DNA

SANTA CLARA, Calif., Sept. 20, 2022 (GLOBE NEWSWIRE) — GTC—NVIDIA today announced two new large language model cloud AI services — the NVIDIA NeMo Large Language Model Service and the NVIDIA BioNeMo LLM Service — that enable developers to easily adapt LLMs and deploy customized AI applications for content generation, text summarization, chatbots, code development, as well as protein structure and biomolecular property predictions, and more.

The NeMo LLM Service allows developers to rapidly tailor a number of pretrained foundation models using a training method called prompt learning on NVIDIA-managed infrastructure. The NVIDIA BioNeMo Service is a cloud application programming interface (API) that expands LLM use cases beyond language and into scientific applications to accelerate drug discovery for pharma and biotech companies.

“Large language models hold the potential to transform every industry,” said Jensen Huang, founder and CEO of NVIDIA. “The ability to tune foundation models puts the power of LLMs within reach of millions of developers who can now create language services and power scientific discoveries without needing to build a massive model from scratch.”

NeMo LLM Service Boosts Accuracy With Prompt Learning, Accelerates Deployments

With the NeMo LLM Service, developers can use their own training data to customize foundation models ranging from 3 billion parameters up to Megatron 530B, one of the world’s largest LLMs. The process takes just minutes to hours compared with the weeks or months required to train a model from scratch.

Models are customized with prompt learning, which uses a technique called p-tuning. This allows developers to use just a few hundred examples to rapidly tailor foundation models that were originally trained with billions of data points. The customization process generates task-specific prompt tokens, which are then combined with the foundation models to deliver higher accuracy and more relevant responses for specific use cases.

Developers can customize for multiple use cases using the same model and generate many different prompt tokens. A playground feature provides a no-code option to easily experiment and interact with models, further boosting the effectiveness and accessibility of LLMs for industry-specific use cases.

Once ready to deploy, the tuned models can run on cloud instances, on-premises systems or through an API.

BioNeMo LLM Service Enables Researchers to Tap Power of Massive Models

The BioNeMo LLM Service includes two new BioNeMo language models for chemistry and biology applications. It provides support for protein, DNA and biochemical data to help researchers discover patterns and insights in biological sequences.

BioNeMo enables researchers to expand the scope of their work by leveraging models that contain billions of parameters. These larger models can store more information about the structure of proteins, evolutionary relationships between genes, and even generate novel biomolecules for therapeutic applications.

Cloud API Provides Access to Megatron 530B, Other Ready-Made Models

In addition to tuning foundation models, the LLM services include the option to use ready-made and custom models through a cloud API.

This gives developers access to a broad range of pretrained LLMs, including Megatron 530B. It also provides access to T5 and GPT-3 models created with the NVIDIA NeMo Megatron framework — now available in open beta — to support a broad range of applications and multilingual service requirements.

Leaders in automotive, computing, education, healthcare, telecommunications and other industries are using NeMo Megatron to pioneer services for customers in Chinese, English, Korean, Swedish and other languages.

Availability

The NeMo LLM and BioNeMo services and cloud APIs are expected to be available in early access starting next month. Developers can apply now for more details.

The beta release of the NeMo Megatron framework is available from NVIDIA NGC™ and is optimized to run on NVIDIA DGX™ Foundry and NVIDIA DGX SuperPOD™, as well as accelerated cloud instances from Amazon Web Services, Microsoft Azure and Oracle Cloud Infrastructure.

To experience the NeMo Megatron framework, developers can try NVIDIA LaunchPad labs at no charge.

Tune in to Huang’s GTC keynote to learn more about large language models powered by NVIDIA AI.

About NVIDIA

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics and ignited the era of modern AI. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry. More information at https://nvidianews.nvidia.com/.

For further information, contact:

Shannon McPhee
Senior PR Manager
NVIDIA Corporation
+1-310-920-9642
[email protected]

Certain statements in this press release including, but not limited to, statements as to: the benefits, impact, capabilities, and availability of our products and technologies, including the NeMo LLM Service and the BioNeMo LLM Service; the potential of large language models to transform every industry; the impact of the ability to tune foundation models; and larger models storing more information about the structure of proteins, evolutionary relationships between genes, and generating novel biomolecules for therapeutic applications are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2022 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, NVIDIA NGC, NVIDIA DGX and NVIDIA DGX SuperPOD are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/b8e54914-5bc9-49c2-befe-fb773f9ccdd0